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Data Management Jobs in Quebec (NOW HIRING)

CA$30/hr

Integrate data from SCADA, IoT sensors, smart meters, ERP, CRM, and trading systems. * Design batch and real-time data ingestion frameworks. * Optimize data performance, reliability, and scalability.

The team of 5 people in target aims to manage the proper collection of market data (coming from External providers), format them, and expose to Societe Generale information system. In Amer region ...

Establish scope, milestones, budgets, timelines, dependencies, and risk/issue management; maintain ... Embed security and data governance (access controls, classification, privacy/compliance) into ...

Contributing to the implementation and evolution of data management solutions (data warehouses, data marts, data lakes). * Preparing, transforming, and structuring data required for training ...

Contributing to the implementation and evolution of data management solutions (data warehouses, data marts, data lakes). * Preparing, transforming, and structuring data required for training ...

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Data Management information

See Quebec salary details

$13

$31

$63

How much do data management jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for data management in Quebec is $31.46, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $50.00 per hour, depending on experience, location, and employer.

What are some common challenges faced by Data Management professionals in ensuring data quality and consistency across departments?

Data Management professionals often encounter challenges such as inconsistent data entry practices, siloed information systems, and varying data standards across departments. Addressing these issues typically involves implementing data governance frameworks, standardizing processes, and fostering collaboration between teams to ensure data integrity. Regular audits, cross-functional meetings, and the use of data quality tools are common strategies employed to maintain high standards and support organizational decision-making.

What Is a Data Management Analyst?

A data management analyst is responsible for maintaining databases. In this position, your responsibilities are to keep an eye on how secure the data is and look for ways to increase user efficiency when accessing it. For example, you might move the database to an online cloud-based server to free up system resources. A data management analyst has to have a solid grasp of network technology, in addition to familiarity with database and spreadsheet software, to perform the duties of the job.

What are the key skills and qualifications needed to thrive in Data Management, and why are they important?

To excel in Data Management, you need a strong background in data analysis, database design, and data governance, often supported by a degree in computer science or information systems. Familiarity with database management systems (like SQL, Oracle), data visualization tools, and certifications such as Certified Data Management Professional (CDMP) are highly valued. Attention to detail, problem-solving, and strong organizational skills help professionals ensure data integrity and facilitate effective collaboration. These competencies are crucial for maintaining accurate, secure, and accessible data, which underpins informed business decision-making.

What is data management?

Data management is the process of collecting, storing, organizing, and maintaining data in a secure and efficient manner. It ensures that data is accurate, available, and accessible to authorized users when needed. Good data management practices help organizations make informed decisions, comply with regulations, and protect sensitive information. It often involves the use of specialized software, policies, and procedures to handle data throughout its lifecycle.

What is the difference between Data Management vs Data Analyst?

AspectData ManagementData Analyst
Primary FocusOrganizing, storing, and maintaining data integrityAnalyzing data to extract insights and support decision-making
Skills & CertificationsDatabase management, SQL, data governance certificationsStatistical analysis, Excel, data visualization tools
Work EnvironmentData warehouses, IT departments, enterprise systemsBusiness units, analytics teams, consulting firms
Industry UsageUsed across industries for data infrastructureUsed for reporting, forecasting, and strategic analysis

While Data Management focuses on maintaining and organizing data infrastructure, Data Analysts interpret this data to generate insights. Both roles are essential for effective data-driven decision-making but serve different functions within an organization.

What are the most commonly searched types of Data Management jobs in Quebec? The most popular types of Data Management jobs in Quebec are:
What are popular job titles related to Data Management jobs in Quebec? For Data Management jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Data Management jobs in Quebec look for? The top searched job categories for Data Management jobs in Quebec are:

Data Engineer - Spark, Databricks & Snowflake (Energy) - DESDSEAS

NavitasPartners

Quebec, QC โ€ข On-site

CA$30/hr

Full-time

Posted 5 days ago


Job description

Job Title : Data Engineer โ€“ Spark, Databricks & Snowflake (Energy) Industry

Energy & Utilities

Position Overview

We are seeking an experienced Data Engineer to design, build, and optimize large-scale data platforms supporting operational, customer, asset, and energy market analytics. The ideal candidate will have strong expertise in Databricks, Spark, Snowflake, and cloud-based data engineering solutions.

Responsibilities
  • Develop scalable ETL/ELT pipelines using Spark and Databricks.
  • Build enterprise data solutions on Snowflake.
  • Integrate data from SCADA, IoT sensors, smart meters, ERP, CRM, and trading systems.
  • Design batch and real-time data ingestion frameworks.
  • Optimize data performance, reliability, and scalability.
  • Implement data quality and monitoring processes.
  • Support predictive maintenance and asset performance analytics initiatives.
Required Skills
  • Apache Spark (PySpark, Spark SQL)
  • Databricks
  • Snowflake
  • Python, SQL
  • Azure Data Factory, AWS Glue, or GCP Dataflow
  • Kafka/Event Streaming
  • Delta Lake
  • CI/CD and DevOps practices
Preferred Skills
  • Smart Grid Analytics
  • Energy Trading Data
  • Renewable Energy Operations
  • IoT and Time-Series Data Management
Mandatory Experience
  • 5+ years of Data Engineering experience.
  • Must have prior experience working within the Energy, Utilities, Oil & Gas, Renewable Energy, or Energy Trading sector.


For more details reach at resumes@navitassols.com